DETECTION AND PREVENTION OF CYBER ATTACKS USING ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.47390/SPR1342V6I3Y2026N41Keywords:
AI systems, cybercrime, Internet fraud, personal data, cyberattacks, hacking, virus, malicious programs.Abstract
The threat of cybercrime in the digital space is becoming increasingly complex. This article examines the risks encountered in cyberspace from a theoretical and practical point of view: analyzes the risks identified by malware, fake web resources, data theft through social manipulation, and comprehensive monitoring of user behavior. The main focus is on using artificial intelligence (AI) to identify these risks earlier, take into account the contextual factors of user activity and improve security measures. The article covers the following directions: detection of anomalous events through SI methods, profiling by studying user behavior, real-time analysis of danger signals and optimization of warning processes, strengthening of system security based on multilayer security architecture, creation of customized notifications and educational materials to increase user awareness. The article also discusses the risk aspects of SI systems, the limitations of identification and authentication, as well as the importance of security policies. These methods are important in crime detection and prevention. At the same time, legislative proposals have been submitted to improve the current situation, prevent cybercrimes and assign responsibility for them.
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